Skin Manifestations in Pediatric Patients Treated With a TNF-Alpha Inhibitor for Inflammatory Bowel Disease: A Retrospective Study
Bibliographic record
Abstract
BACKGROUND: Tumor necrosis factor (TNF) alpha inhibitors (anti-TNF) are effective in the treatment of inflammatory bowel disease (IBD) as well as psoriasis. Their increasing use has raised the identification of cutaneous side effects (CSEs). Evidence in children is limited. OBJECTIVES: The objective of this study is to describe CSEs of anti-TNF treatment in a pediatric population with IBD. METHODS: This is a retrospective single-center study of children with IBD under anti-TNF treatment between 2013 and 2016. A total of 40 patients with CSEs related to anti-TNF were referred to our pediatric dermatology clinic. A control group was randomly selected from patients receiving anti-TNF for IBD, who were referred to the dermatology clinic for other conditions unrelated to anti-TNF. RESULTS: Of 343 patients with IBD, 40 (11.3%) presented CSEs potentially related to the treatment. No differences in sex, age, and underlying disease were found between those with and without CSEs. The most frequent CSEs were psoriasiform eruptions (41%) which were more exudative than usual, located especially in skin folds and on the scalp; skin infections (20%); and eczematous eruptions (10%). Only 5% of patients changed or discontinued the current anti-TNF because of CSEs. CONCLUSION: This is one of the largest pediatric cohorts of IBD patients with CSEs. Psoriasiform eruptions were the most common CSEs, with predilection for skin folds and scalp, and frequent superimposed bacterial infection. Topical and/or systemic antibiotics were required in addition to topical corticosteroids in 25% of patients. The rate of discontinuation of anti-TNF therapy due to CSEs was low.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".